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11441
Adaptive high frequency data streaming for Soft Real-Time Industrial AI: A scalable microservices based architecture with dynamic downsampling
Published 2025-09-01“…By balancing data reduction and analytical accuracy, this approach addresses key challenges in high-frequency data processing for industrial applications.…”
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11442
BanglaBlend: A large-scale nobel dataset of bangla sentences categorized by saint and common form of bangla languageMendeley Data
Published 2025-02-01“…BanglaBlend also facilitates literary analysis, cultural heritage projects, and the creation of domain-specific texts. To achieve the best data quality, rigorous pre-processing techniques such as anonymization and duplication removal were used. …”
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11443
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11444
Enhancing deep convolutional neural network models for orange quality classification using MobileNetV2 and data augmentation techniques
Published 2025-01-01“…Additionally, the study employs comprehensive data augmentation methods, including horizontal and vertical flips, grayscale transformations, hue adjustments, brightness adjustments, and noise addition to enhance the model's robustness and generalization capabilities. …”
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11445
Pulsed Focused Nonlinear Acoustic Fields from Clinically Relevant Therapeutic Sources in Layered Media: Experimental Data and Numerical Prediction Results
Published 2013-10-01“…In many therapeutic applications of a pulsed focused ultrasound with various intensities the finite- amplitude acoustic waves propagate in water before penetrating into tissues and their local heating. …”
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11446
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11447
An Improved Tree Crown Delineation Method Based on a Gradient Feature-Driven Expansion Process Using Airborne LiDAR Data
Published 2025-01-01“…Accurate individual tree crown delineation (ITCD), which can be used to estimate various forest parameters such as biomass, stem density, and carbon storage, stands as an essential component of precision forestry. Currently, raster data such as the canopy height model derived from airborne light detection and ranging (LiDAR) data have been widely used in large-scale ITCD. …”
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11448
pycastx: A Python library for lightweight data encryption in IoT using ECC and metaheuristics based high-entropy keys and dynamic S-Box
Published 2025-09-01“…The Internet of Things (IoT) has a wide range of applications that will have a significant impact on several different industries. …”
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11449
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11450
ChildDiffusion: Unlocking the Potential of Generative AI and Controllable Augmentations for Child Facial Data Using Stable Diffusion and Large Language Models
Published 2025-01-01“…Ensuring the availability of child facial datasets is essential for advancing AI applications, yet legal, ethical, and data scarcity concerns pose significant challenges. …”
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11451
Assessing the accuracy of adherence and sexual behaviour data in the MDP301 vaginal microbicides trial using a mixed methods and triangulation model.
Published 2010-07-01“…Women reported more sex, gel and condom use than their partners. IDI data on adherence match the applicator-return data more closely than the CRF. …”
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11452
Validation of Global Moderate-Resolution FAPAR Products over Boreal Forests in North America Using Harmonized Landsat and Sentinel-2 Data
Published 2025-08-01“…On average, 34.47 ± 6.91% of the FAPAR data met the goal requirements of the Global Climate Observing System (GCOS), while 54.41 ± 6.89% met the threshold requirements of the GCOS. …”
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11453
A Practical Method for Red-Edge Band Reconstruction for Landsat Image by Synergizing Sentinel-2 Data with Machine Learning Regression Algorithms
Published 2025-06-01“…However, the absence of red-edge bands limits the applicability of Landsat images, the most widely used remote sensing data, to vegetation monitoring. …”
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11454
Extracting Decision Rules from Linguistic Data Describing Economic Phenomena. The Approach Based on Decision Systems over Ontological Graphs and PSO
Published 2014-06-01“… The aim of the paper is to present a heuristic method for extracting the most general decision rules from linguistic data describing economic phenomena included in simple decision systems over ontological graphs. …”
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11455
Dataset on droplet spreading and rebound behavior of water and viscous water-glycerol mixtures on superhydrophobic surfaces with laser-made channelsMendeley Data
Published 2025-08-01“…Additionally, it supports applications in 3D printing, coating technologies, and inkjet printing by providing data on viscous liquid impacts on poorly wettable surfaces.…”
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11456
Multimodal data-driven prognostic model for predicting long-term outcomes in older adult patients with sarcopenia: a retrospective cohort study
Published 2025-08-01“…This study aims to utilize machine learning techniques that incorporate sociodemographic factors, health-related metrics, lifestyle variables, and biomarker data to improve risk stratification and management in older adults with SP.MethodsWe analyzed data from the NHANES from 1999–2006 and 2010–2018, including a total of 1,619 older adult patients with SP, with a 10-year follow-up period for this population, during which 541 (33%) patients died and 1,078 (67%) survived. …”
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11457
High-Performance O-Band Angled Multimode Interference Splitter with Buried Silicon Nitride Waveguide for Advanced Data Center Optical Networks
Published 2025-03-01“…These limitations reduce their effectiveness as photonic data-center applications, where precise waveguide configurations are crucial. …”
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11458
Multivariate Time Series Clustering with State Space Dynamical Modeling and Grassmann Manifold Learning: A Systematic Review on Human Motion Data
Published 2024-12-01“…These challenges can be addressed in Grassmann manifold learning combined with state-space dynamical modeling, which allows existing clustering techniques to be applicable using similarity measures defined on MTS data. …”
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11459
Spatial Downscaling of Soil Moisture Product to Generate High-Resolution Data: A Multi-Source Approach over Heterogeneous Landscapes in Kenya
Published 2025-05-01“…The coarse SM datasets exhibited spatiotemporal consistency, with a standard deviation below 0.15 m<sup>3</sup>/m<sup>3</sup>, capturing over 95% of the variability in the original data. Validation against in situ SM data at the station confirmed the framework’s reliability, achieving an average UbRMSE of less than 0.04 m<sup>3</sup>/m<sup>3</sup> and a correlation coefficient (r) over 0.52 for each downscaled dataset. …”
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11460
A Pressure-Driven Recovery Factor Equation for Enhanced Oil Recovery Estimation in Depleted Reservoirs: A Practical Data-Driven Approach
Published 2025-07-01“…The novelty of the new <i>DRF</i> equation lies in its capability to correctly estimate <i>RFs</i> using limited available historical data, making it appropriate for early-stage development and data-scarce situations. …”
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